Tracking the Summary Statistics in Long-Term Memory / Haiyun Zeng.

Format:

Book

Thesis/Dissertation

Author/Creator:

Zeng, Haiyun, author.

Contributor:

University of Pennsylvania. Psychology, degree granting institution.

Language:

English

Subjects (All):

Experimental psychology.

Psychology--Penn dissertations.

Penn dissertations--Psychology.

Local Subjects:

Experimental psychology.

Psychology--Penn dissertations.

Penn dissertations--Psychology.

Physical Description:

1 online resource (133 pages)

Distribution:

Ann Arbor : ProQuest Dissertations & Theses, 2022

Contained In:

Dissertations Abstracts International 84-03B.

Place of Publication:

[Philadelphia, Pennsylvania] : University of Pennsylvania, 2022.

Language Note:

English

Summary:

Decades of research have demonstrated humans' extraordinary ability to extract summary statistics across individual experiences. Less is known about how exactly the items contribute to the summary statistics and how the relationship between memory for the items and memory for the summary statistics evolves and changes over time. I propose that memory of summary statistics that are initially extracted from individual instances starts to guide memory for individual items over time, and not all items contribute to the summary statistics equally. Sources of item distinctiveness influence the summary statistics extraction in terms of the contribution of each item and the accuracy of summary statistics. The three empirical chapters enlighten our understanding of summary statistics extraction in long-term memory by bridging fields ranging from perception and memory to emotion and motivation.

Notes:

Source: Dissertations Abstracts International, Volume: 84-03, Section: B.

Advisors: Thompson-Schill, Sharon L.; Trueswell, John C.; Committee members: Schapiro, Anna C.

Department: Psychology.

Ph.D. University of Pennsylvania 2022.

Local Notes:

School code: 0175

ISBN:

9798351434544

Access Restriction:

Restricted for use by site license.